基于视频修复的运动目标删除篡改行为的检测算法

将运动对象从视频中删除是视频篡改的一种常见 形式,针对删除视频运动对象这一篡改操作, 提出了基于视频修复痕迹的检测方法。运动对象删除后需采用数字视频修复技术填补由于移 除操作产生的 黑洞,使得篡改后的视频遗留有修复痕迹;通过深入分析篡改视频中遗留的修复痕迹,对篡 改后未压缩视 频采用对称帧差法检测运动对象删除区域;对压缩后的篡改视频从运动光流场的角度,由视 频帧光流方向 的不一致性进行检测。实验结果表明,本文方法不依赖于原始视频,计算复杂度低,能够有 效检测运动对象删除操作,并在空时域上对篡改区域进行定位。     

Eu2+掺杂Sr5(PO4)2SiO4磷灰石荧光粉的发光性能研究

采用高温固相法制备了Sr5－x (PO₄)₂SiO₄:xEu²⁺(x =0.010,0.015,0.020,0.025,0.050, 0.100)荧光粉,研究掺杂 浓度和测试温度对荧光粉发光性能的影响。随着Eu²⁺掺杂浓度的增加,发射强度呈现 先增大后减小的变化 趋势,并在x=0.015时达到最大值。Eu 2+掺杂浓度较低时(x≤0.025),Eu²⁺取代不同格位的 Sr²⁺,使得发射 光谱具有双发射峰;当x＞0.025时,由于 存在Eu 1到Eu 2的能量传递使发射光谱中Eu 1的峰位消失,只存 在Eu 2的峰位。发射光谱随Eu²⁺浓度增大出现了红移现象,这是由于半径较小的Eu 2+(0.109nm)取代较 大的Sr²⁺(0.113nm)使得晶胞收缩,晶场强度增大,从而导 致Eu²⁺的5d能级劈裂程度增大,电子跃迁释 放能量降低。此外,测试温度增加时,发射光谱出现与Varshini方程不相符的蓝移现象,这 是晶格结构稳定性和声子辅助隧穿效应共同作用使较小波长的Eu 1的发射居于主导地位的结 果。     

基于三通道多小波紧标架的图像曲率修复模型

为解决正交小波域图像修复方法的现存小波 系数不能提供丢 失小波系数的充足信息问题,将曲率修复(CDD)模型扩展到非正交小波域,提出一种新的基 于三通道多小波 紧标架的图像CDD模型。进一步考虑到CDD模型的等照度线是按照直线连接的问 题,提出了一种新的CCD模型。新模型的修复在两个方向上进行,在法向上按照改进的曲率 函数进行修复, 在切向上实现输运机制。新模型结合了多小波紧标架分解技术和改进的CDD模型的 优势,利用标架域中 小波系数之间具有的冗余性对缺损的信息进行弥补,对现有CDD模型进行改进。给出了 有效的split Bregman 仿真算法,并采用不同的图像进行了仿真。实验结果表明,新模型对大面积缺损修复及噪声 抑制都具有良好 的修复效果,即使在大量小波系数丢失的情况下,也能保持图像的边缘结构等几何特征,大 大的改善修复质量。     

Real-Time monitoring of III-V molecular beam epitaxial growth using spectroscopic ellipsometry

We report the real-time monitoring of monolayer thickness changes in AlAs and GaAs layer growth on rotating GaAs substrates using spectroscopic ellipsometry (SE). A phase-modulated spectroscopic ellipsometer was integrated with a III-V MBE system by triggering spectral acquisition synchronously with substrate rotation. Absolute thickness accuracy was verified using ex situ SE measurement. Reasonable agreement was also obtained between in situ growth rate measurements by SE and reflection high energy electron diffraction. The precision and speed of this method appears suitable for real-time control of quantum devices, such as resonant-tunneling diodes.     

Phase and magnetic properties of iron oxide clusters in 20CaO·20SiO2·7Fe2O3·6FeO glasses

The annealing of 20CaO·20SiO₂·7Fe₂O₃·6FeO glasses at 973K in vacuo produced clusters of iron oxide, the shape of which was nearly spherical and the diameter distributed in the narrow range 25–115Å. The phase of clusters was identified to be Fe³⁺(Fe³⁺ _{poststagger|1.30}Fe²⁺ _{poststagger|0.55}V_0.15)·O₄ in the inverse spinel structure based upon the Mössbauer spectra and x-ray diffraction profiles. The clusters exhibited superparamagnetism and their effective anisotropy energy constant was inversely proportional to the cluster diameter. The magnetization of the glasses measured by a vibrating sample magnetometer was 7.2 × 10^-6 Wbmkg^-1 at 10 kOe at room temperature and smaller than the value calculated assuming that the whole clusters have superparamagnetism. These results suggest the pinning of spins near the cluster surface.     

Rolling Friction Enhanced Free‐Standing Triboelectric Nanogenerators and their Applications in Self‐Powered Electrochemical Recovery Systems

Heavy metals contained in wastewater are one of the most serious pollutions in natural resources. A self‐powered electrochemical recovery system for collecting Cu ions in wastewater by incorporating a rolling friction enhanced freestanding triboelectric nanogenerator (RF‐TENG) is developed here. The RF‐TENG utilizes integrated cylindrical surfaces using the conjunction of rolling electrification and freestanding electrostatic induction, which shows outstanding output performance and ultrarobust stability. By using the kinetic energy of flowing water, a collection efficiency of up to 80% for Cu²⁺ ions in wastewater has been achieved. Self‐powered electrochemical systems are one of the most promising applications of TENGs for independent and sustainable driving of electrochemical reactions without the need for any additional power supply. This research is a substantial advancement towards the practical applications of triboelectric nanogenerators and self‐powered electrochemical systems.     

Tribotronic Phototransistor for Enhanced Photodetection and Hybrid Energy Harvesting

Tribotronics is a new field developed by coupling triboelectricity and semiconductor, which can drive triboelectric‐charge‐controlled optoelectronic devices by further introducing optoelectronics. In this paper, a tribotronic phototransistor (TPT) is proposed by coupling a field‐effect phototransistor and a triboelectric nanogenerator (TENG), in which the contact‐induced inner gate voltage by the mobile frictional layer is used for modulating the photodetection characteristics of the TPT. Based on the TPT, alternatively, a coupled energy‐harvester (CEH) is fabricated for simultaneously scavenging solar and wind energies, in which the output voltage on the external resistance from the wind driven TENG is used as the gate voltage of the TPT for enhancing the solar energy conversion. As the wind speed increases, the photovoltaic characteristics of the CEH including the short‐circuit current, open‐circuit voltage, and maximal output power have been greatly enhanced. This work has greatly expanded the functionality of tribotronics in photodetection and energy harvesting, and provided a potential solution for highly efficient harvesting and utilizing multitype energy.     

A delay and energy aware coordination mechanism for WSAN

In this paper, a delay and energy aware coordination mechanism (DEACM) has been devised for wireless sensor–actor networks. In DEACM, a two‐level hierarchical K‐hop clustering mechanism is used to organize the sensors and actors for communication. In the first level, sensors form a K‐hop cluster using actors as cluster heads, and sink is made as the cluster head in the second level to form a cluster among actors. Sensor nodes, which are 1‐hop away from the actors, also called as relay nodes are elected as backup cluster head (BCH) based on the residual energy and node degree. BCH collects the data from sensors when an actor is away to perform actions in the affected area. The scheme is evaluated through exhaustive simulation in NS2 along with other existing schemes. Different parameters like average event waiting time, event reliability, and average energy dissipation are compared, varying the number of sensors, actors, and data transfer rate. In general, it is observed that the proposed DEACM outperforms other existing schemes. Copyright © 2016 John Wiley & Sons, Ltd.     

JAVA中一类随机数生成方法设计思想

论述了定长序列元素的随机化。通过移植C＋＋标准模板库的随机函数,可方便实现ja-va下给定基本数据类型数组、对象数组、基本序列容器元素的随机化。并可运用spring框架加以封装,形成更强大的随机化管理功能。     

Wireless distributed computing in cognitive radio networks

Individual cognitive radio nodes in an ad-hoc cognitive radio network (CRN) have to perform complex data processing operations for several purposes, such as situational awareness and cognitive engine (CE) decision making. In an implementation point of view, each cognitive radio (CR) may not have the computational and power resources to perform these tasks by itself. In this paper, wireless distributed computing (WDC) is presented as a technology that enables multiple resource-constrained nodes to collaborate in computing complex tasks in a distributed manner. This approach has several benefits over the traditional approach of local computing, such as reduced energy and power consumption, reduced burden on the resources of individual nodes, and improved robustness. However, the benefits are negated by the communication overhead involved in WDC. This paper demonstrates the application of WDC to CRNs with the help of an example CE processing task. In addition, the paper analyzes the impact of the wireless environment on WDC scalability in homogeneous and heterogeneous environments. The paper also proposes a workload allocation scheme that utilizes a combination of stochastic optimization and decision-tree search approaches. The results show limitations in the scalability of WDC networks, mainly due to the communication overhead involved in sharing raw data pertaining to delegated computational tasks.